For the first learning round, all clients use the same neural network (the one defined to compute the PCA). For model aggregation at the server level, the FedAvg algorithm has been selected for its simplicity and good efficiency in the HAR domain [1]}. Also, for the sake of clarity, all the clients behave synchronously, so all of them take part in each round.
